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Jianqiang Gong

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2020 – today

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2023
[j7]
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Jianqiang Gong, Jie Jin:
A better robustness and fast convergence zeroing neural network for solving dynamic nonlinear equations. Neural Comput. Appl. 35(1): 77-87 (2023)
[j6]
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Jie Jin, Jingcan Zhu, Lv Zhao, Lei Chen, Long Chen, Jianqiang Gong:
A Robust Predefined-Time Convergence Zeroing Neural Network for Dynamic Matrix Inversion. IEEE Trans. Cybern. 53(6): 3887-3900 (2023)
2022
[j5]
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  - journals/mcs/ZhuJCG22
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Jingcan Zhu, Jie Jin, Weijie Chen, Jianqiang Gong:
A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion. Math. Comput. Simul. 197: 291-307 (2022)
2021
[j4]
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Jie Jin, Jianqiang Gong:
A noise-tolerant fast convergence ZNN for dynamic matrix inversion. Int. J. Comput. Math. 98(11): 2202-2219 (2021)
[j3]
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Lv Zhao, Jie Jin, Jianqiang Gong:
A novel robust fixed-time convergent zeroing neural network for solving time-varying noise-polluted nonlinear equations. Int. J. Comput. Math. 98(12): 2514-2532 (2021)
[j2]
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Lv Zhao, Jie Jin, Jianqiang Gong:
Robust zeroing neural network for fixed-time kinematic control of wheeled mobile robot in noise-polluted environment. Math. Comput. Simul. 185: 289-307 (2021)
[j1]
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Jianqiang Gong, Jie Jin:
A faster and better robustness zeroing neural network for solving dynamic Sylvester equation. Neural Process. Lett. 53(5): 3591-3606 (2021)

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